2,121,429 research outputs found
Correlations between environmental parameters and nuclear activity
The occurrence and quantitative properties of Seyfert 1 and Seyfert 2 galaxies as a function of the galaxy environment were studied in a systematic way. For this investigation the authors selected from the Catalogue of Quasars and Active Nuclei (Veron & Veron, 1989) all Seyfert galaxies with the following properties: (1) m sub V less than or equal to 15; (2) listed classification as Sey 1, Sey 2, or Sey 3; (3) v sub rad less than or equal to 20,000 km s(sup -1). This results in a sample size of 242 Seyfert galaxies. For all these objects their galaxy environment was inspected on plates. The vicinity of each sample Seyfert galaxy was searched for companion galaxies out to at least 0.5 Mpc. Lacking redshift information, the authors adopted as a companion galaxy any galaxy in this area having a size between 20 and 200 percent of the Seyfert galaxy size. As an important environmental parameter for Seyfert activity, the authors consider the galaxy density within an environment of 500 kpc radius. They distinguish four density classes: D1: no companion (isolated Seyfert); D2: 1 companion; D3: 2 to 5 companions (group); and D4: less than or equal to 6 companions (dense group). The distribution of the various Seyfert classes among these density classes is listed in tabular form, both in absolute numbers and in percentages (given in brackets). From these statistics the environments of Sey 1, Sey 2, and Sey 3 galaxies do not differ in general with the exception that among the isolated galaxies the Seyfert 1 galaxies dominate conspicuously. No significant dependence of morphological type (de Vaucouleurs T-type) on density class is observed both for Sey 1 and Sey 2 galaxies. On the basis of an extensive search of the Seyfert literature the authors also investigated the dependence of the intrinsic parameters of the sample Seyfert galaxies on density class
Modelling of Metal-Coating Delamination Incorporating Variable Environmental Parameters
A mathematical model for metal-coat delamination of degrading metal was developed incorporating multiple variable environmental parameters. Metal-coat delamination not only depends on the electrochemical reactions at metal-coat interface but also on the factors like the type of propagating metal ions and their varying concentration with annual weather changes, time of exposure of the coated objects, type of coated objects are stationary or mobile vehicles, frequency with which certain vehicles are operating in various environments e.g. controlled or uncontrolled in terms of environmental conditions. A cutting edge model has been developed to calculate the varying environmental conditions using iteration algorithm, time dependent uncertain position of objects like vehicle in various environments using stochastic approach, effect of seasonal changes on ionic compound's concentration using algebraic method and instantaneous failure probability due to varying conditions. Based on the developed model a detailed simulation study was conducted to investigate the metal-coat delamination process and the ways to regress the under coat metal corrosion
Bayesian analysis of the linear reaction norm model with unknown covariate
The reaction norm model is becoming a popular approach for the analysis of G x E interactions. In a classical reaction norm model, the expression of a genotype in different environments is described as a linear function (a reaction norm) of an environmental gradient or value. A common environmental value is defined as the mean performance of all genotypes in the environment, which is typically unknown. One approximation is to estimate the mean phenotypic performance in each environment, and then treat these estimates as known covariates in the model. However, a more satisfactory alternative is to infer environmental values simultaneously with the other parameters of the model. This study describes a method and its Bayesian MCMC implementation that makes this possible. Frequentist properties of the proposed method are tested in a simulation study. Estimates of parameters of interest agree well with the true values. Further, inferences about genetic parameters from the proposed method are similar to those derived from a reaction norm model using true environmental values. On the other hand, using phenotypic means as proxies for environmental values results in poor inferences
Natural Environmental Service Support to NASA Vehicle, Technology, and Sensor Development Programs
The research performed under this contract involved definition of the natural environmental parameters affecting the design, development, and operation of space and launch vehicles. The Universities Space Research Association (USRA) provided the manpower and resources to accomplish the following tasks: defining environmental parameters critical for design, development, and operation of launch vehicles; defining environmental forecasts required to assure optimal utilization of launch vehicles; and defining orbital environments of operation and developing models on environmental parameters affecting launch vehicle operations
Effects of environmental parameters to total, quantum and classical correlations
We quantify the total, quantum, and classical correlations with entropic
measures, and quantitatively compare these correlations in a quantum system, as
exemplified by a Heisenberg dimer which is subjected to the change of
environmental parameters: temperature and nonuniform external field. Our
results show that the quantum correlation may exceed the classical correlation
at some nonzero temperatures, though the former is rather fragile than the
later under thermal fluctuation. The effect of the external field to the
classical correlation is quite different from the quantum correlation.Comment: 6 pages, 4 figure
Environmental urbanization assessment using gis and multicriteria decision analysis: a case study for Denizli (Turkey) municipal area
In recent years, life quality of the urban areas is a growing interest of civil engineering. Environmental quality is essential to display the position of sustainable development and asserts the corresponding countermeasures to the protection of environment. Urban environmental quality involves multidisciplinary parameters and difficulties to be analyzed. The problem is not only complex but also involves many uncertainties, and decision-making on these issues is a challenging problem which contains many parameters and alternatives inherently. Multicriteria decision analysis (MCDA) is a very prepotent technique to solve that sort of problems, and it guides the users confidence by synthesizing that information. Environmental concerns frequently contain spatial information. Spatial multicriteria decision analysis (SMCDA) that includes Geographic Information System (GIS) is efficient to tackle that type of problems. This study has employed some geographic and urbanization parameters to assess the environmental urbanization quality used by those methods. The study area has been described in five categories: very favorable, favorable, moderate, unfavorable, and very unfavorable. The results are momentous to see the current situation, and they could help to mitigate the related concerns. The study proves that the SMCDA descriptions match the environmental quality perception in the city. © 2018 Erdal Akyol et al
Polluting production – environmentally sound alternatives; A general model of production externalities
With the determination of principal parameters of producing and pollution abatement technologies, this paper quantifies abatement and external costs at the social optimum and analyses the dynamic relationship between technological development and the above-mentioned costs. With the partial analysis of parameters, the paper presents the impacts on the level of pollution and external costs of extensive and intensive environmental protection, market demand change and product fees, and not environmental protection oriented technological development. Parametrical cost calculation makes the drawing up of two useful rules of thumb possible in connection with the rate of government in-terventions. Also, the paradox of technological development aiming at intensive environmental protection will become apparent
ECOLOGICAL FEATURES OF DENROFLORAS OF IRON DUMPS IN KRYVORIZHZHYA (UKRAINE)
Plant individuals are very sensitive to changes in environmental parameters, as they are a
fairly labile component of ecosystems. Each plant species has a specific range of environmental
conditions in which it can exist – the tolerance amplitude of the species
An Extended Virtual Aperture Imaging Model for Through-the-wall Sensing and Its Environmental Parameters Estimation
Through-the-wall imaging (TWI) radar has been given increasing attention in recent years. However, prior knowledge about environmental parameters, such as wall thickness and dielectric constant, and the standoff distance between an array and a wall, is generally unavailable in real applications. Thus, targets behind the wall suffer from defocusing and displacement under the conventional imag¬ing operations. To solve this problem, in this paper, we first set up an extended imaging model of a virtual aperture obtained by a multiple-input-multiple-output array, which considers the array position to the wall and thus is more applicable for real situations. Then, we present a method to estimate the environmental parameters to calibrate the TWI, without multiple measurements or dominant scatter¬ers behind-the-wall to assist. Simulation and field experi¬ments were performed to illustrate the validity of the pro¬posed imaging model and the environmental parameters estimation method
Stability of Intercelular Exchange of Biochemical Substances Affected by Variability of Environmental Parameters
Communication between cells is realized by exchange of biochemical
substances. Due to internal organization of living systems and variability of
external parameters, the exchange is heavily influenced by perturbations of
various parameters at almost all stages of the process. Since communication is
one of essential processes for functioning of living systems it is of interest
to investigate conditions for its stability. Using previously developed
simplified model of bacterial communication in a form of coupled difference
logistic equations we investigate stability of exchange of signaling molecules
under variability of internal and external parameters.Comment: 11 pages, 3 figure
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